Inteligência artificial na agricultura com aplicabilidade no setor sementeiro

Romário de Mesquita Pinheiro; Gizele Ingrid Gadotti; Rita de Cassia Mota Monteiro; Ruan  Bernardy

doi:10.48017/Diversitas_Journal-v6i3-1857

Inteligência artificial na agricultura com aplicabilidade no setor sementeiro

Authors

Romário de Mesquita Pinheiro Faculdade de Agronomia Eliseu Maciel- Universidade Federal de Pelotas, doutorando do Programa de Pós-Graduação em Ciência e Tecnologia de Sementes https://orcid.org/0000-0003-0484-8351
Gizele Ingrid Gadotti Centro de Engenharia- CENG, Universidade Federal de Pelotas, Professora do Programa de Pós-Graduação em Ciência e Tecnologia de Sementes https://orcid.org/0000-0001-9545-6577
Rita de Cassia Mota Monteiro Faculdade de Agronomia Eliseu Maciel- Universidade Federal de Pelotas, mestranda do Programa de Pós-Graduação em Ciência e Tecnologia de Sementes https://orcid.org/0000-0001-9342-2779
Ruan Bernardy Centro de Engenharia- CENG, Universidade Federal de Pelotas, Mestrando de Pós Graduação em Ciências Ambientais https://orcid.org/0000-0001-9285-1993

DOI:

https://doi.org/10.48017/Diversitas_Journal-v6i3-1857

Abstract

ABSTRACT: Methods for classification and identification of essential activities in the analysis of seeds is of great technical and economic importance in the agricultural sector and contributes to the added value in the final production of the crop. With technology in the field, demand to solve several problems, human intellectual capacity is inherent. The objective was to portray challenges and evident solutions in the use of artificial intelligence in agriculture and to specify the use of this intellectual activity in the seed sector. Peer-reviewed articles on seed machine learning and artificial intelligence in agriculture were reported in this paper. The processing of data and images with a machine vision are complemented through a common classifier. With the dynamics of current research in the seed industry, trends are expected to investigate in the near future, analysis of characteristic data in seed production systems related to the aspects of processing, storage, drying and quality control.

KEYWORDS: Seed classification, Agricultural future, Computer vision.

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Published

2021-08-01

How to Cite

Pinheiro, R. de M., Gadotti, G. I., Monteiro, R. de C. M., & Bernardy, R. . (2021). Inteligência artificial na agricultura com aplicabilidade no setor sementeiro . Diversitas Journal, 6(3), 2996–3012. https://doi.org/10.48017/Diversitas_Journal-v6i3-1857

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Issue

Vol. 6 No. 3 (2021): Culture and tourism hand in hand with territorial development

Section

Ciências Agrárias

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